K-Means Clustering 101: World Happiness Report

4.7

10 个评分

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在此指导项目中,您将:
1.5 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic production, social support, life expectancy, freedom, absence of corruption, and generosity. The World Happiness Report determines the state of global happiness. The happiness scores and rankings data has been collected by asking individuals to rank their life from 0 (worst possible life) to 10 (best possible life).

您要培养的技能

  • Segmentation

  • visualization

  • Machine Learning

  • Python Programming

  • Artificial Intelligence(AI)

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